Abstract
Menus are used for exploring and selecting commands in interactive applications. They are widespread in current systems and used by a large variety of users. As a consequence, they have motivated many studies in Human-Computer Interaction (HCI). Facing the large variety of menus, it is difficult to have a clear understanding of the design possibilities and to ascertain their similarities and differences. In this article, we address a main challenge of menu design: the need to characterize the design space of menus. To do this, we propose a taxonomy of menu properties that structures existing work on visual menus. As properties have an impact on the performance of the menu, we start by refining performance through a list of quality criteria and by reviewing existing analytical and empirical methods for quality evaluation. This taxonomy of menu properties is a step toward the elaboration of advanced predictive models of menu performance and the optimization of menus. A key point of this work is to focus both on menus and on the properties of menus, and then enable a fine-grained analysis in terms of performance.
| Original language | English |
|---|---|
| Article number | a60 |
| Journal | ACM Computing Surveys |
| Volume | 49 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 31 Dec 2017 |
| Externally published | Yes |
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